lnu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Comparison of Simultaneous and Multi-setup Measurement Strategies in Operational Modal Analysis
University of Southern Denmark, Denmark.
Structural Vibration Solutions, Denmark.
University of Southern Denmark, Denmark.ORCID iD: 0000-0003-2025-7842
2015 (English)In: 6th International Operational Modal Analysis Conference (IOMAC 2015), Gijón, Spain, 12-14 May 2015, International Operational Modal Analysis Conference (IOMAC) , 2015, p. 598-610Conference paper, Published paper (Refereed)
Abstract [en]

For operational modal analysis (OMA) the multi-setup (or roving sensors) measurements strategy are often applied because the number of wanted measurement DOFs exceeds the number of available sensors. Studies of potential effects of applying the multi-setup strategy in contrast to the optimal simultaneous measurement strategy have, however rarely been reported. Classically, multi-setup datasets are merged together in a post-identification step, known as the patch based approach in experimental modal analysis. Recently, methods for merging the datasets in a pre-identification step has been suggested in the literature, but none of these methods have been compared with simultaneous measurement data. The present paper presents experimental results from an OMA obtained from a measurement consisting of 45 sensors simultaneously measured on a ship in operation. The modal parameters have been estimated for the full dataset, and for three artificially created multi-setup tests based on the full dataset. The first multi-setup test is composed of five datasets that are parallel in time, hence consistency between the datasets is guaranteed. The second test is also parallel in time but with two datasets, and the third test is composed of the same two datasets, but serial in time, hence consistency between the datasets is not guaranteed. For the multi-setup tests merging of the datasets have been done both with pre- and a post-identification methods and the modal parameters are compared with the ones estimated from the simultaneous measurement data. It is shown that using multi-setup tests systematic errors can occur especially in the damping estimates. The tested case where consistency between the datasets could not be guaranteed larger error was observed than when consistency was ensured. In addition, it was found that when mode shapes are of high importance the number of measured DOFs in each dataset should be sufficient larger in order to have a good estimate of the mode shapes.

Place, publisher, year, edition, pages
International Operational Modal Analysis Conference (IOMAC) , 2015. p. 598-610
Keywords [en]
Operational Modal Analysis, Experimental data, Measurement strategy, Damping estimation, Comparison
National Category
Mechanical Engineering
Identifiers
URN: urn:nbn:se:lnu:diva-56959ISBN: 9781510803671 (print)OAI: oai:DiVA.org:lnu-56959DiVA, id: diva2:1039754
Conference
6th International Operational Modal Analysis Conference (IOMAC), Gijón, Spain, May 12-14, 2015
Available from: 2016-10-25 Created: 2016-09-28 Last updated: 2016-10-25Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Full text

Authority records

Brandt, Anders

Search in DiVA

By author/editor
Brandt, Anders
Mechanical Engineering

Search outside of DiVA

GoogleGoogle Scholar

isbn
urn-nbn

Altmetric score

isbn
urn-nbn
Total: 73 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf